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    <title>topic Re: Generate RSM after DSD in a welding experiment in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/734825#M91572</link>
    <description>&lt;P&gt;thanks for sharing&lt;/P&gt;</description>
    <pubDate>Thu, 14 Mar 2024 04:55:26 GMT</pubDate>
    <dc:creator>gregbowers</dc:creator>
    <dc:date>2024-03-14T04:55:26Z</dc:date>
    <item>
      <title>Generate RSM after DSD in a welding experiment</title>
      <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/683516#M86905</link>
      <description>&lt;P&gt;Good afternoon!&lt;/P&gt;&lt;P&gt;I made a DSD with 16 factors and 3 responses (responses that must meet different conditions and simultaneously maximum/minimum) in order to screen the main factors and check curvature and quadratic terms in the models.&lt;/P&gt;&lt;P&gt;I would like to know how to generate an RSM and obtain the optimized response for welding, simultaneously meeting the requirements of the responses (the desariblity curves of each response being superimposed and met simultaneously, in this case) without having to generate another DOE (e.g. a Box- Behken). I saw that it is possible to use the "augment design" function in JMP to provide extra runs and it is possible to generate such response surfaces with the DSD itself.&lt;/P&gt;&lt;P&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;(JMP file is attached)&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;thank you for your attention!&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Oct 2023 18:09:28 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/683516#M86905</guid>
      <dc:creator>ivanpicchi</dc:creator>
      <dc:date>2023-10-03T18:09:28Z</dc:date>
    </item>
    <item>
      <title>Re: Generate RSM after DSD in a welding experiment</title>
      <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/683523#M86906</link>
      <description>&lt;UL&gt;&lt;LI&gt;Would I have to reduce the model to 3 main factors to fit the model and response surfaces?&lt;/LI&gt;&lt;LI&gt;How do I change the logworth line to the 0.05 significance level?&lt;/LI&gt;&lt;/UL&gt;</description>
      <pubDate>Tue, 03 Oct 2023 19:02:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/683523#M86906</guid>
      <dc:creator>ivanpicchi</dc:creator>
      <dc:date>2023-10-03T19:02:46Z</dc:date>
    </item>
    <item>
      <title>Re: Generate RSM after DSD in a welding experiment</title>
      <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/683538#M86908</link>
      <description>&lt;P&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;Here (&lt;A href="https://prismtc.co.uk/resources/blogs-and-articles/the-evolution-of-definitive-screening-designs-from-optimal-custom-doe" target="_blank" rel="noopener"&gt;https://prismtc.co.uk/resources/blogs-and-articles/the-evolution-of-definitive-screening-designs-from-optimal-custom-doe&lt;/A&gt;) he screens 6 factors for 3 and&lt;/SPAN&gt;&lt;/SPAN&gt; &lt;SPAN class=""&gt;&lt;SPAN class=""&gt;apparently generates the model already consider the 3 answers simultaneously.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ivanpicchi_0-1696357596120.png" style="width: 548px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/57190i53A6C42B9AF72F17/image-dimensions/548x303?v=v2" width="548" height="303" role="button" title="ivanpicchi_0-1696357596120.png" alt="ivanpicchi_0-1696357596120.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;In my file (attached to the post), it generated a separate desirability curve for each response and did the screening independently for each response, even leaving it to generate a model per response, preventing me from achieving the optimized coding while simultaneously obeying the&lt;/SPAN&gt;&lt;/SPAN&gt; &lt;SPAN class=""&gt;&lt;SPAN class=""&gt;restrictions imposed on each of the 3 responses:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ivanpicchi_1-1696357778906.png" style="width: 841px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/57191i5FAE11BE13CDB29A/image-dimensions/841x246?v=v2" width="841" height="246" role="button" title="ivanpicchi_1-1696357778906.png" alt="ivanpicchi_1-1696357778906.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;&lt;SPAN class=""&gt;Does anyone have any tips or solutions to resolve this issue?&lt;/SPAN&gt;&lt;/SPAN&gt; &lt;SPAN class=""&gt;&lt;SPAN class=""&gt;I need to generate a model that meets the restrictions of the 3 answers, simultaneously.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 03 Oct 2023 18:30:41 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/683538#M86908</guid>
      <dc:creator>ivanpicchi</dc:creator>
      <dc:date>2023-10-03T18:30:41Z</dc:date>
    </item>
    <item>
      <title>Re: Generate RSM after DSD in a welding experiment</title>
      <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/683546#M86909</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/51266"&gt;@ivanpicchi&lt;/a&gt;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you have several responses and use "Fit Definitive Screening Design", click on CTRL + "Run Model" to launch the Fit Model platform with all responses. You can fine-tune the models for each response independently if needed.&lt;BR /&gt;Then, click on the red triangle next to "Fit Group" and "Profiler" : you'll have a Profiler with all responses and specific model for each response considered.&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Victor_G_0-1696358609485.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/57192i27057461C849C93A/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Victor_G_0-1696358609485.png" alt="Victor_G_0-1696358609485.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;From there, you can specify the desirability functions (red triangle from Prediction Profiler, "Optimization and Desirability", and "Desirability Functions"), importance of each response, and optimize the levels of the factors to reach the best compromise depending on your settings (red triangle from Prediction Profiler, "Optimization and Desirability", "Maximize Desirability") :&lt;BR /&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Victor_G_1-1696358740675.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/57193iDBFCE80FB0E43F67/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Victor_G_1-1696358740675.png" alt="Victor_G_1-1696358740675.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;Result :&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Victor_G_2-1696358760576.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/57194i48E7264B958799A9/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Victor_G_2-1696358760576.png" alt="Victor_G_2-1696358760576.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can also create your own specific models and try different estimation methods with the "Fit Model" platform, specify all your responses and check the "Fit Separately" option :&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Victor_G_3-1696358839920.png" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/57196iAD224072386C2D40/image-size/medium?v=v2&amp;amp;px=400" role="button" title="Victor_G_3-1696358839920.png" alt="Victor_G_3-1696358839920.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;From there you will also have access to the "Fit Group" options and the Profiler for all responses to optimize them simultaneously.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this will help you,&lt;/P&gt;</description>
      <pubDate>Tue, 03 Oct 2023 18:48:09 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/683546#M86909</guid>
      <dc:creator>Victor_G</dc:creator>
      <dc:date>2023-10-03T18:48:09Z</dc:date>
    </item>
    <item>
      <title>Re: Generate RSM after DSD in a welding experiment</title>
      <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/734611#M91562</link>
      <description>&lt;P&gt;How did you leave the graphs that have the greatest impact on desirability on the red scale?&lt;/P&gt;</description>
      <pubDate>Wed, 13 Mar 2024 18:47:45 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/734611#M91562</guid>
      <dc:creator>ivanpicchi</dc:creator>
      <dc:date>2024-03-13T18:47:45Z</dc:date>
    </item>
    <item>
      <title>Re: Generate RSM after DSD in a welding experiment</title>
      <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/734645#M91565</link>
      <description>Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/51266"&gt;@ivanpicchi&lt;/a&gt;,&lt;BR /&gt;&lt;BR /&gt;You can colorize in red scale the factors on the Profiler based on their importances on the response by clicking on the red triangle of Profiler, then "Assess Variable Importance" and then you can choose to calculate importance depending on the assumption of the factors distributions : &lt;A href="https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/assess-variable-importance.shtml" target="_blank"&gt;https://www.jmp.com/support/help/en/17.2/index.shtml#page/jmp/assess-variable-importance.shtml&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;Then, on the new panel of the Variable Importance Report, you have the option in the red triangle to "Colorize Profiler", which will apply on the factors in the Profiler the red scale you have seen in my screenshots.&lt;BR /&gt;&lt;BR /&gt;Hope this will help you,</description>
      <pubDate>Wed, 13 Mar 2024 21:03:47 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/734645#M91565</guid>
      <dc:creator>Victor_G</dc:creator>
      <dc:date>2024-03-13T21:03:47Z</dc:date>
    </item>
    <item>
      <title>Re: Generate RSM after DSD in a welding experiment</title>
      <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/734825#M91572</link>
      <description>&lt;P&gt;thanks for sharing&lt;/P&gt;</description>
      <pubDate>Thu, 14 Mar 2024 04:55:26 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/734825#M91572</guid>
      <dc:creator>gregbowers</dc:creator>
      <dc:date>2024-03-14T04:55:26Z</dc:date>
    </item>
    <item>
      <title>Re: Generate RSM after DSD in a welding experiment</title>
      <link>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/735220#M91636</link>
      <description>&lt;P&gt;amazing! ty!&lt;/P&gt;</description>
      <pubDate>Fri, 15 Mar 2024 19:10:40 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Generate-RSM-after-DSD-in-a-welding-experiment/m-p/735220#M91636</guid>
      <dc:creator>ivanpicchi</dc:creator>
      <dc:date>2024-03-15T19:10:40Z</dc:date>
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